关键词: 说话人辨识, 相位特征参数, 耳蜗倒谱系数（CFCC）, 高斯混合模型（GMM）

Abstract: In the traditional speaker recognition, people tend to think that the human ear is not sensitive to phase information and ignore the influence of phase information on speech recognition. In order to verify the influence of phase information on speaker recognition, an algorithm to extract the phase cepstrum coefficient is proposed in this paper. Respectively, under the condition of pure and noise-corrupted speech, based on Gaussian Mixes Model （GMM）, combining the Cochlear Filter Cepstrum Coefficient （CFCC） with the phase feature parameters, the influence of phase on speaker recognition performance is studied. The experimental results indicate that phase information also plays an important role in speaker recognition and when it is applied to speaker recognition system, the recognition rate and the robustness of system has obvious improvement.

Key words: speaker identification, phase feature parameters, Cochlear Filter Cepstrum Coefficient（CFCC）, Gaussian Mixes Model（GMM）